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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model
|
|---|---|
| Published in |
Journal of Great Lakes Research, June 2019
|
| DOI | 10.1016/j.jglr.2019.02.004 |
| Authors |
Katherine R. Merriman, Prasad Daggupati, Raghavan Srinivasan, Brett Hayhurst |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Student > Master | 16 | 18% |
| Researcher | 11 | 12% |
| Student > Doctoral Student | 5 | 6% |
| Other | 5 | 6% |
| Other | 8 | 9% |
| Unknown | 29 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 21 | 23% |
| Engineering | 15 | 17% |
| Agricultural and Biological Sciences | 8 | 9% |
| Earth and Planetary Sciences | 6 | 7% |
| Business, Management and Accounting | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 34 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2020.
All research outputs
#13,020,930
of 22,679,690 outputs
Outputs from Journal of Great Lakes Research
#872
of 1,668 outputs
Outputs of similar age
#164,350
of 348,532 outputs
Outputs of similar age from Journal of Great Lakes Research
#11
of 27 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,668 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.